• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.49-59
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• 2021

This study empirically analyzes the effect of firm overinvestment propensity on the value relevance of capital investment. In order to verify this point, this study attempts to analyze the value relevance of overinvestment firms' capital investments. The analysis was performed according to the model of Biddle et al. (2009) and McNichols and Stubben (2008) on overinvestment propensity for analysis, and the results are as follows. First, in terms of overinvestment, corporate capital investment shows negative value relevance, so the excessive investments above reasonable levels have reduced firm's value. In contrast, the value relevance for capital investment showed a positive value for firms whose managerial propensity changed, that is, from under-investment in the previous year, it shifted to overinvestment in the current year. Second, as a result of analyzing the value relevance of the investment increase according to the investment propensity, the overinvestment firms showed negative values and the underinvested firms showed positive values; thus, the value relevance of the increase in investment was opposite to the investment propensity of the firm. These findings confirm that the stock market differentially evaluates investment efficiency according to investment propensity, continuity, and investment alterations, and reflects it appropriately in the firm's value.

• Journal of Korea Society of Digital Industry and Information Management
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• v.19 no.2
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• pp.147-160
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• 2023

Unlike other currencies, cryptocurrency is not a currency used for general transactions, but is currently applied to various investment assets and its scope is expanding. The purpose of this study is to the effect of personal characteristics on investment intention. As a theoretical background, it was verified by applying the Extended Technical Acceptance Model (ETAM). self-confidence propensity, bandwagon propensity, risk tolerance propensity, network externality, attitude, and Investment intention were composed of variables. The research method collected data from 871 people who had experience in cryptocurrency investment through a survey and analyzed it after excluding the data of 71 people who were judged to be inappropriate. The structural equation modeling method using AMOS was used. As a result of this paper, five hypotheses were accepted as statistically significant. This study concluded that self-confidence propensity, bandwagon propensity, risk tolerance propensity, network externality, and attitude had statistically significant effects on Investment intention. In this respect, this study will be able to provide useful information for cryptocurrency research.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.2
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• pp.21-29
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• 2017

Stock investment becomes one of the most popular investments in these days, and the ultimate goal of investors in the stock market is to maximize profits and minimize losses, in order to achieve this, investors will select based on investment information. namely, the information about the company which we interest is essential to stock investors. Also, investors are affected by their propensity to invest according to their attitude toward risk. With these situations, this research tried to show the private investors' actual performance of Investment by studying individual investors' propensity and Information explore. The purpose of this study is to analyze the effect of investors' propensity and information search on investment satisfaction. The questionary method required some sample surveys. The data of the practical analysis was carried out with the on-line researching method. The researching time was from the 1st of Dec. 2016 to the 15th of Dec. 2016. Of the 357 questionnaires submitted, 7 were deemed inappropriate or incomplete; thus, 350 questionnaires were used in the final analysis of the study. For analysis methodology, this research is using SPSS 21.0 along with analytic techniques, such as implementation of basic statistical analysis, reliability, and regression analysis. The practical analysis results are as follows; Among the investment propensities, profit propensity, analytical propensity, and investment propensity has a significant effect on investment performance. On the other hand, brokerage firm information, firm accounting information, private information has a statistically significant effect on investment performance. Finally, we confirmed the mediating role of investment sentiment.

• Journal of Information Technology Applications and Management
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• v.23 no.4
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• pp.71-82
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• 2016

The purpose of this study is to prove empirically that technology investment propency factors (TIPFs) refect on the technological competitive advantage (TCA) and management performance. It includes the role of open technology innovation (OTI) approach is mediate to TCA from technology investment propensity. Especially the three TIPFs are market orientation, innovation orientation and strategy orientation. The analysis were performed based on the respondents' data from 181 firms focusing to technology innovation and information technology. The suggested research assumptions including structured equation model were proved. Therefore, this study emphasizes that CEO or CTO must concentrate on innovative, strategic and market oriented propensity when he makes a decision on technology investment. An open innovation approach is effective for getting high TCA and management performance in technology intensive firms such as technology innovation and information technology.

• Korean Business Review
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• v.17
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• pp.137-151
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• 2004

Wrap accounts are customized financial services for which investment companies and stock brokers manage investors assets based on their preferences. The success of wrap accounts depend upon the accurate understanding of investment risk propensity and the proper designing of financial portfolio. To this end investment companies should accurately measure investors investment risk propensity with calibrated measures. There, unfortunately, exist few highly calibrated measures of investment risk propensity. Therefore the practices of marketing strategies and customer management often turn out to be less effective and fragile to competition. The purposes of this present study aim to understand the investment risk propensity of wrap accounts customers, to help classify the customers based on the degree of the investment risk propensity, and to implement relevant marketing strategies for different groups of customers. Based on previous studies, two hypotheses were delineated and verified. The findings of the study should help differentiate prospective customers into unique and accessible segments for further targeting and positioning wrap account markets.

• Journal of Information Technology Services
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• v.15 no.4
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• pp.1-24
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• 2016

With the innovation of information technology, non-face-to-face robo advisor with high accessibility and convenience is spreading. The current robot advisor recommends appropriate investment products after understanding the investment propensity based on the structured data entered directly or indirectly by individuals. However, it is an inconvenient and obtrusive way for financial consumers to inquire or input their own subjective propensity to invest. Hence, this study proposes a way to deduce the propensity to invest in unstructured data that customers voluntarily exposed during consultation or online. Since prediction performance based on unstructured document differs according to the characteristics of text, in this study, classification algorithm optimized for the characteristic of text left by financial consumers is selected by performing prediction performance evaluation of various learning discrimination algorithms and proposed an intelligent method that automatically recommends investment products. User tests were given to MBA students. After showing the recommended investment and list of investment products, satisfaction was asked. Financial consumers' satisfaction was measured by dividing them into investment propensity and recommendation goods. The results suggest that the users high satisfaction with investment products recommended by the method proposed in this paper. The results showed that it can be applies to non-face-to-face robo advisor.

• Journal of Multimedia Information System
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• v.8 no.3
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• pp.183-190
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• 2021

In this paper, we implement a system for a fund recommendation based on the investment propensity and for a future fund price prediction. The investment propensity is classified by scoring user responses to series of questions. The proposed system recommends the funds with a suitable risk rating to the investment propensity of the user. The future fund prices are predicted by Prophet model which is one of the machine learning methods for time series data prediction. Prophet model predicts future fund prices by learning the parameters related to trend changes. The prediction by Prophet model is simple and fast because the temporal dependency for predicting the time-series data can be removed. We implement web pages for the fund recommendation and for the future fund price prediction.

• The Journal of Fisheries Business Administration
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• v.53 no.3
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• pp.85-101
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• 2022

This study analyzed the performance of the national fishing port development project, which lacked ex-post impact evaluation despite a lot of investment in terms of fishery income opportunities. Using micro data from the Census of Agriculture, Forestry, and Fisheries, the sales amount of fishery products and the proportion of fishery-related businesses were used as performance indicators. The fishery households in the fishing port area (treatment group) and those not in the area (control group) were classified through data pre-processing, and factors unrelated to the fishing ports were controlled using the propensity score matching difference-in-difference method. The analysis target is six fishing ports with large investment in from 2010 to 2014. As a result of the analysis, it was confirmed that the sales of fishery products increased significantly in four of the six fishing ports, and the proportion of fishery-related businesses increased in two fishing ports. The analysis method of this study can be fully utilized in the evaluation of the Fishing Community New Deal 300 Project, which is in need of performance analysis.

• Journal of Korea Technology Innovation Society
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• v.13 no.3
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• pp.446-458
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• 2010

All countries of the world have been spurring foreign direct investment consistently for securing of economic growth and growth engines, and Korea is no exception. Korea has been stimulating investment of high quality through various political support and the government has been publicizing it as an achievement. Based on the most of previous studies analyzed the results of foreign direct investment only on the view of domestic economy, this study supposes that foreign direct investment influences positively on management and innovation performance on companies, and evaluated effects of foreign direct investment by using Propensity score matching method. Analysis shows that foreign direct investment has positive influence on management and innovation performance before matching them. However, after matching them, the most statistical significance disappears. Consequently, foreign direct investment has limited effect on company's performance comparison on initial assumption. 'This study indicates that incentive policy of foreign direct investment would need to be amended, because effect of incentive policy was limited for firm's performance.

• KDI Journal of Economic Policy
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• v.37 no.sup
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• pp.87-121
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• 2015

To attract more FDI inflows, the Korean government has designated several special economic zones (SEZs), offering various advantages and support to the FDI. There is, however, a shared acknowledgement that those efforts have gained little reward. In this regard, this paper empirically analyzes company-level performances of labor productivity, operating profit ratio, propensity to invest and innovate, etc. and then conducts regression analysis and PSM analysis to see whether these performances are meaningfully different between foreign-invested firm and domestic firm and between foreign-invested firms. The main findings of this paper are as follows. First, in the aspects of labor productivity and operating profit ratio, no empirical evidence was found to support the hypothesis that foreign-invested firm outperforms domestic firm in efficiency and profitability, Second, in the aspects of propensity to invest, foreign-invested firms in foreign investment zones outperformed domestic firms. Third, in the aspect of R&D investment, overall, foreign-invested firms showed a stronger propensity to invest than domestic firms, but there is no empirical evidence that high propensity to invest was driven by the policy on special economic zones. In the aspect of investment in educational training, empirical evidences were found that the role of foreign-invested firms outside the special zones turned out to be the strongest and that among firms inside special zones, it was those in the free economic zone that outperformed domestic firms. Lastly, foreign-invested firms showed a stronger propensity to employ than domestic firms, but there is no empirical evidence that high propensity to employ was driven by the policy on special economic zones.